Quantile Regression for Random Variables on the Unit Interval
Ambiguity-Conflict data
Model comparison test for fitted cdfqr models
Stress-Anxiety data
Likelihood Functions for Generating OpenBUGS Model File
Generating OpenBUGS Model File
The Family of Finite-Tailed Distributions
Control Optimization Parameters for CDF-Quantile Probability Distribut...
Overview of the family of distributions
Quantile Regression for Random Variables on the Unit Interval
CDF-Quantile Probability Distributions
Censored CDF-Quantile Probability Distributions
CDF-Quantile Finite Tailed Probability Distributions
Zero/One inflated CDF-Quantile Probability Distributions
The Family of Distributions
Extinction Study data-set
Influence Diagnosis For Fitted Cdfqr Object
IPCC data-set
IPCC data-set - Wide format
IPCC data-set - Australian data
Juror data
Plot Fitted Values/Residuals of A Cdfqr Object or Distribution
Methods for Cdfqr Objects
Bootstrapping for cdf quantile regression
Give the Gradient Function for CDF-Quantile Distribution Models
Log Likelihood for Fitting Cdfquantile Distributions
Probability Weighted L-moment Skewness and Kurtosis
Starting Value Generation for CDF quantile Regressions
Register method for cdfqr object functions
Transform Values into (0, 1) Interval
S3 Methods for getting output from fitted cdfqr Objects.
Patient Time Data
Employs a two-parameter family of distributions for modelling random variables on the (0, 1) interval by applying the cumulative distribution function (cdf) of one parent distribution to the quantile function of another.